{"id":"W4391651933","doi":"10.1038/s41378-023-00639-4","title":"Flexible pressure sensors with ultrahigh stress tolerance enabled by periodic microslits","year":2024,"lang":"en","type":"article","venue":"Microsystems & Nanoengineering","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Polydimethylsiloxane; Materials science; Piezoresistive effect; Pressure sensor; Fabrication; Sensitivity (control systems); Stress (linguistics); Molding (decorative); Microstructure; Nanotechnology; Optoelectronics; Computer science; Composite material; Mechanical engineering; Electronic engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001207245,0.0005304007,0.0005158469,0.000150505,0.0001219573,0.0004749264,0.0002363998,0.0001712516,0.00004169573],"category_scores_gemma":[0.000009974091,0.0004831027,0.00008309798,0.0004040826,0.00004134613,0.0003744642,0.00002466145,0.0002703283,0.0000674133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009781561,"about_ca_system_score_gemma":0.00002242933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006325688,"about_ca_topic_score_gemma":0.000007200339,"domain_scores_codex":[0.9980335,0.0000249471,0.0004564326,0.0005062579,0.0002199455,0.0007589121],"domain_scores_gemma":[0.9993051,0.00006161921,0.000034209,0.0003850261,0.00004982869,0.0001641802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006841234,0.000005518927,0.00003064381,0.001554218,0.00008687693,0.00004188239,0.0002370451,0.4147633,0.5821036,0.00005026086,0.001021685,0.00009820222],"study_design_scores_gemma":[0.0003460747,0.00003264892,0.00005162186,0.001535976,0.00005252676,0.0001927652,0.00006486072,0.02494197,0.7819495,0.000002284621,0.1901492,0.0006805743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9416981,0.0274481,0.02073532,0.00001600792,0.002711892,0.0004235274,0.0005524837,0.005075816,0.001338739],"genre_scores_gemma":[0.993346,0.0001713619,0.000792217,0.000008554822,0.0003738854,0.00007456529,0.00007520286,0.0002454081,0.004912784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3898213,"threshold_uncertainty_score":0.9997621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003756926936276093,"score_gpt":0.1809473175455535,"score_spread":0.1771903906092774,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}